Title: Type 2 fuzzy TOPSIS for agriculture MCDM problems

Authors: Mohamed El Alaoui; Khalid El Yassini; Hussain Ben-azza

Addresses: Department of Production and Industrial Engineering, ENSAM Meknes, Moualy Ismail University, Morocco ' IA Laboratory, Faculty of Sciences Meknes, Moulay Ismail University, Morocco ' Department of Production and Industrial Engineering, ENSAM Meknes, Moualy Ismail University, Morocco

Abstract: Multi criteria decision making methods achieve an unprecedented success in various domains. However, they are not infallible. TOPSIS, one of the most used, does not check the decision makers' assessments consistency nor their level of confidence. To take account of the preeminent uncertainty, we propose a TOPSIS-based method with interval type 2 fuzzy numbers. An improved algorithm is presented to take into account both coherence and confidence level. An illustrative example treating an agriculture supply chain demonstrates a better sorting capacity of the proposed methodology. In addition, the suggested aims prevent rank reversal.

Keywords: TOPSIS; coherence; reliability; interval type 2 fuzzy numbers; multi attribute decision making; MADM; sustainable agriculture.

DOI: 10.1504/IJSAMI.2019.101672

International Journal of Sustainable Agricultural Management and Informatics, 2019 Vol.5 No.2/3, pp.112 - 130

Received: 29 Oct 2018
Accepted: 05 Mar 2019
Published online: 20 Aug 2019 *

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